Python / Reliable programs

Python β€” Reliable programs

Organize modules, validate records, model state, and verify behavior through focused tests.

6 lessons Β· No account required

What you will learn

  • Organize modules, validate records, model state, and verify behavior through focused tests.

  1. Modules, packages, and isolated environments

    Organize code into importable boundaries and distinguish an import package from an installed distribution and a virtual environment.

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  2. Errors, exceptions, and debugging

    Turn failures into precise information while preserving their causes, then investigate the smallest reproducible failing case.

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  3. Testing contracts with the standard library

    Build small deterministic tests around observable behavior, including boundaries and expected failures, instead of testing implementation accidents.

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  4. Comprehensions and iterator pipelines

    Express transformations compactly while keeping evaluation order, one-pass consumption, and memory behavior explicit.

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  5. Classes, dataclasses, and ownership

    Model meaningful state with explicit invariants, prefer composition, and understand what dataclass-generated behavior does and does not guarantee.

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  6. Reliable records, CSV, and time

    Build a small record-processing pipeline with explicit schema, correct format handling, and meaningful time representations.

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